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ORIGINAL RESEARCH article

Front. Aging Neurosci.
Sec. Alzheimer's Disease and Related Dementias
Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1431421
This article is part of the Research Topic Genetic and Biochemical Hallmarks in the Transition between Healthy Aging and Dementia View all 4 articles

Nomogram for Predicting Mild Cognitive Impairment in Chinese Elder CSVD Patients based on Boruta Algorithm

Provisionally accepted
Yanzi Huang Yanzi Huang 1*Wendie Huang Wendie Huang 1Xiaoming Ma Xiaoming Ma 2Guoyin Zhao Guoyin Zhao 1*Jingwen Kang Jingwen Kang 1,3*Huajie Li Huajie Li 2*Jingwei Li Jingwei Li 2*Shiying Sheng Shiying Sheng 1Fengjuan Qian Fengjuan Qian 1*
  • 1 Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
  • 2 Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
  • 3 Department of Clinical Neutrition, Yantai Yuhuangding Hospital, Yantai, China

The final, formatted version of the article will be published soon.

    Background: The number of patients with cerebral small vessel disease is increasing, especially among the elderly population. With the continuous improvement of detection techniques, the positivity rate keeps increasing. Our goal is to develop a nomogram for early identification of PSCI and PSCID in stroke patients.Methods: In a retrospective cohort, chained data imputation was performed to ensure no statistical differences from the original dataset. Subsequently, Boruta algorithm was utilized for variable selection based on their importance, followed by logistic regression employing backward stepwise regression. Finally, the regression results were visualized as a Nomogram.The nomogram chart in this study achieves clinical utility in a concise and user-friendly manner, passing the Hosmer-Lemeshow goodness-of-fit test. ROC and calibration curves indicate its high discriminative ability.While CSVD is prevalent among middle-aged and older individuals, cognitive decline trajectories differ. Endocrine metabolic indicators like IGF-1 offer early predictive value. This study has produced a succinct nomogram integrating demographic and clinical indicators for medical application.

    Keywords: MCI, CSVd, IGF-1, Cognition, cognitive impairment, Stroke, nomogram

    Received: 11 May 2024; Accepted: 15 Jan 2025.

    Copyright: © 2025 Huang, Huang, Ma, Zhao, Kang, Li, Li, Sheng and Qian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yanzi Huang, Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
    Guoyin Zhao, Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
    Jingwen Kang, Department of Clinical Neutrition, Yantai Yuhuangding Hospital, Yantai, China
    Huajie Li, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
    Jingwei Li, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
    Fengjuan Qian, Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China

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